Abstract
The control of a variable-speed wind turbine below the rated wind speed is achieved by controlling the generator. The main goal is to maximize the wind power capture at variable wind speed which can be achieved by adjusting the turbine speed in such a way that the optimal tip speed ratio λ opt is maintained. For higher than rated wind speeds but below the cut-out limit, the captured power is kept constant by the pitch mechanism to protect the turbine from damage while the system generates and delivers the rated power to the grid. Two neural networks will be created to get MPP for WTG at varying wind speeds; Tip speed ratio (TSR) control based on neural network, and Pitch angle control based on neural network.
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